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PMID: 3291892 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Colonic lesion expert system. Performance evaluation.

Analytical and quantitative cytology and histology ·Vol. 10 ·No. 2 ·1988-04-00 ·Pages 150-9

Weber JE, Bartels PH, Griswold W, Kuhn W, Paplanus SH, Graham AR

Abstract

A computer-based expert system for diagnosing colonic sections as normal, adenoma or adenocarcinoma is described, along with an evaluation of its performance. On the basis of its knowledge base, consisting of the values of diagnostic clues and their associated certainty factors for the possible diagnoses, the system will suggest the diagnosis for new cases presented to it. Using the data provided for 16 diagnostic clues, the system arrived at correct diagnoses for all cases of normal colon, for 49 of 50 cases of adenoma and for 48 of 49 cases of adenocarcinoma. Sample outputs from the expert system are presented and discussed, and the effects of possible alterations in the data base are considered.

MeSH Terms
Adenocarcinoma/diagnosis Adenoma/diagnosis Colonic Neoplasms/diagnosis Diagnosis, Computer-Assisted/standards Diagnosis, Differential Diagnostic Errors Expert Systems Humans
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Weber J E
Department of Statistics, University of Arizona, Tucson 85721.
Bartels P H
Griswold W
Kuhn W
Paplanus S H
Graham A R
Article Info
Journal
Analytical and quantitative cytology and histology
Abbr.
Anal Quant Cytol Histol
Published
1988-04-00
Pages
150-9
Language
English
Region
United States
NLM ID
8506819
Subset
IM
Grants
NCI NIH HHS · 1 P01-CA 38648 · United States
External Links
PubMed source
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